Task
Supervised Classification on vehicle

Supervised Classification on vehicle

Task 1933 Supervised Classification vehicle 184 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.687, kappa: 0.59, kb_relative_information_score: 5214.3565, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.6836, predictive_accuracy: 0.6924, prior_entropy: 1.9991, recall: 0.6924, relative_absolute_error: 0.4496, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.7671, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.6539, kappa: 0.5528, kb_relative_information_score: 4721.9261, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.6576, predictive_accuracy: 0.6648, prior_entropy: 1.9991, recall: 0.6648, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.7351, scimark_benchmark: 851.2074, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5287, f_measure: 0.1929, kappa: 0.0574, kb_relative_information_score: 1267.9956, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.4667, predictive_accuracy: 0.2992, prior_entropy: 1.9991, recall: 0.2992, relative_absolute_error: 0.9348, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.592, root_relative_squared_error: 1.3674, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5287, f_measure: 0.1929, kappa: 0.0574, kb_relative_information_score: 1267.9956, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.4667, predictive_accuracy: 0.2992, prior_entropy: 1.9991, recall: 0.2992, relative_absolute_error: 0.9348, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.592, root_relative_squared_error: 1.3674, scimark_benchmark: 941.3142, usercpu_time_millis: 460, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.6965, kappa: 0.6095, kb_relative_information_score: 5493.6543, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.6944, predictive_accuracy: 0.7071, prior_entropy: 1.9991, recall: 0.7071, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.7096, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.7204, kappa: 0.6398, kb_relative_information_score: 5386.1596, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.7151, predictive_accuracy: 0.7298, prior_entropy: 1.9991, recall: 0.7298, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.6637, scimark_benchmark: 941.6675, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.6965, kappa: 0.6095, kb_relative_information_score: 5493.6543, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.6944, predictive_accuracy: 0.7071, prior_entropy: 1.9991, recall: 0.7071, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.7096, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.7478, kappa: 0.6717, kb_relative_information_score: 5597.7784, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.7442, predictive_accuracy: 0.7538, prior_entropy: 1.9991, recall: 0.7538, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.6264, scimark_benchmark: 931.771, usercpu_time_millis: 370, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5287, f_measure: 0.1929, kappa: 0.0574, kb_relative_information_score: 1267.9956, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.4667, predictive_accuracy: 0.2992, prior_entropy: 1.9991, recall: 0.2992, relative_absolute_error: 0.9348, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.592, root_relative_squared_error: 1.3674, scimark_benchmark: 937.5117, usercpu_time_millis: 450, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.7043, kappa: 0.6077, kb_relative_information_score: 5192.1543, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.7034, predictive_accuracy: 0.7059, prior_entropy: 1.9991, recall: 0.7059, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.7475, scimark_benchmark: 947.1781, usercpu_time_millis: 2660, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.7478, kappa: 0.6717, kb_relative_information_score: 5597.7784, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.7442, predictive_accuracy: 0.7538, prior_entropy: 1.9991, recall: 0.7538, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.6264, scimark_benchmark: 943.1009, usercpu_time_millis: 400, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.687, kappa: 0.59, kb_relative_information_score: 5214.3565, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.6836, predictive_accuracy: 0.6924, prior_entropy: 1.9991, recall: 0.6924, relative_absolute_error: 0.4496, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.7671, scimark_benchmark: 819.5729, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.6539, kappa: 0.5528, kb_relative_information_score: 4721.9261, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.6576, predictive_accuracy: 0.6648, prior_entropy: 1.9991, recall: 0.6648, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.7351, scimark_benchmark: 608.4057, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5287, f_measure: 0.1929, kappa: 0.0574, kb_relative_information_score: 1267.9956, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.4667, predictive_accuracy: 0.2992, prior_entropy: 1.9991, recall: 0.2992, relative_absolute_error: 0.9348, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.592, root_relative_squared_error: 1.3674, scimark_benchmark: 730.6551, usercpu_time_millis: 720, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5287, f_measure: 0.1929, kappa: 0.0574, kb_relative_information_score: 1267.9956, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.4667, predictive_accuracy: 0.2992, prior_entropy: 1.9991, recall: 0.2992, relative_absolute_error: 0.9348, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.592, root_relative_squared_error: 1.3674, scimark_benchmark: 938.1282, usercpu_time_millis: 500, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.6965, kappa: 0.6095, kb_relative_information_score: 5493.6543, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.6944, predictive_accuracy: 0.7071, prior_entropy: 1.9991, recall: 0.7071, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.7096, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.6965, kappa: 0.6095, kb_relative_information_score: 5493.6543, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.6944, predictive_accuracy: 0.7071, prior_entropy: 1.9991, recall: 0.7071, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.7096, scimark_benchmark: 903.2737, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.6965, kappa: 0.6095, kb_relative_information_score: 5493.6543, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.6944, predictive_accuracy: 0.7071, prior_entropy: 1.9991, recall: 0.7071, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.7096, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.7204, kappa: 0.6398, kb_relative_information_score: 5386.1596, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.7151, predictive_accuracy: 0.7298, prior_entropy: 1.9991, recall: 0.7298, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.6637, scimark_benchmark: 933.3455, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.6965, kappa: 0.6095, kb_relative_information_score: 5493.6543, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.6944, predictive_accuracy: 0.7071, prior_entropy: 1.9991, recall: 0.7071, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.7096, scimark_benchmark: 936.9595, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.7043, kappa: 0.6077, kb_relative_information_score: 5192.1543, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.7034, predictive_accuracy: 0.7059, prior_entropy: 1.9991, recall: 0.7059, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.7475, scimark_benchmark: 935.5664, usercpu_time_millis: 2600, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.7478, kappa: 0.6717, kb_relative_information_score: 5597.7784, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.7442, predictive_accuracy: 0.7538, prior_entropy: 1.9991, recall: 0.7538, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.6264, scimark_benchmark: 901.4991, usercpu_time_millis: 390, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.782, kappa: 0.7172, kb_relative_information_score: 5754.4628, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.7804, predictive_accuracy: 0.7879, prior_entropy: 1.9991, recall: 0.7879, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2542, root_relative_squared_error: 0.5872, scimark_benchmark: 920.2531, usercpu_time_millis: 10370, usercpu_time_millis_testing: 3690, usercpu_time_millis_training: 6680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.7833, kappa: 0.7185, kb_relative_information_score: 5742.5921, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.7817, predictive_accuracy: 0.7889, prior_entropy: 1.9991, recall: 0.7889, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2555, root_relative_squared_error: 0.5901, scimark_benchmark: 940.1221, usercpu_time_millis: 4730, usercpu_time_millis_testing: 1450, usercpu_time_millis_training: 3280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.7833, kappa: 0.7177, kb_relative_information_score: 5741.0293, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.781, predictive_accuracy: 0.7883, prior_entropy: 1.9991, recall: 0.7883, relative_absolute_error: 0.4185, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.5929, scimark_benchmark: 903.179, usercpu_time_millis: 2090, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 1710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.7801, kappa: 0.7133, kb_relative_information_score: 5708.4359, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.7778, predictive_accuracy: 0.785, prior_entropy: 1.9991, recall: 0.785, relative_absolute_error: 0.4209, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.6012, scimark_benchmark: 930.5033, usercpu_time_millis: 1010, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.7682, kappa: 0.698, kb_relative_information_score: 5667.1393, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.7654, predictive_accuracy: 0.7735, prior_entropy: 1.9991, recall: 0.7735, relative_absolute_error: 0.4224, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.6163, scimark_benchmark: 935.6052, usercpu_time_millis: 570, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, f_measure: 0.1614, kappa: -0.0036, kb_relative_information_score: 2.7856, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.13, predictive_accuracy: 0.2547, prior_entropy: 1.9991, recall: 0.2547, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4329, root_relative_squared_error: 1, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6314, f_measure: 0.3097, kappa: 0.1994, kb_relative_information_score: 1678.1552, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.2799, predictive_accuracy: 0.3944, prior_entropy: 1.9991, recall: 0.3944, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.9498, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6314, f_measure: 0.3097, kappa: 0.1994, kb_relative_information_score: 1678.1552, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.2799, predictive_accuracy: 0.3944, prior_entropy: 1.9991, recall: 0.3944, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.9498, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6314, f_measure: 0.3097, kappa: 0.1994, kb_relative_information_score: 1678.1552, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.2799, predictive_accuracy: 0.3944, prior_entropy: 1.9991, recall: 0.3944, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.9498, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6314, f_measure: 0.3097, kappa: 0.1994, kb_relative_information_score: 1678.1552, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.2799, predictive_accuracy: 0.3944, prior_entropy: 1.9991, recall: 0.3944, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.9498, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6314, f_measure: 0.3097, kappa: 0.1994, kb_relative_information_score: 1678.1552, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.2799, predictive_accuracy: 0.3944, prior_entropy: 1.9991, recall: 0.3944, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.9498, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.1614, kappa: -0.0036, kb_relative_information_score: 814.1936, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.13, predictive_accuracy: 0.2547, prior_entropy: 1.9991, recall: 0.2547, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.4101, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.737, kappa: 0.655, kb_relative_information_score: 5604.2415, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.7337, predictive_accuracy: 0.7413, prior_entropy: 1.9991, recall: 0.7413, relative_absolute_error: 0.4162, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.6601, scimark_benchmark: 926.5859, usercpu_time_millis: 210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.7501, kappa: 0.6721, kb_relative_information_score: 5594.389, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.7473, predictive_accuracy: 0.7541, prior_entropy: 1.9991, recall: 0.7541, relative_absolute_error: 0.4207, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.6357, scimark_benchmark: 936.7184, usercpu_time_millis: 1850, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1840,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.687, kappa: 0.59, kb_relative_information_score: 5214.3565, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.6836, predictive_accuracy: 0.6924, prior_entropy: 1.9991, recall: 0.6924, relative_absolute_error: 0.4496, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.7671, scimark_benchmark: 926.4745, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.7043, kappa: 0.6077, kb_relative_information_score: 5192.1543, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.7034, predictive_accuracy: 0.7059, prior_entropy: 1.9991, recall: 0.7059, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.7475, scimark_benchmark: 1325.4787, usercpu_time_millis: 2730, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.7478, kappa: 0.6717, kb_relative_information_score: 5597.7784, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.7442, predictive_accuracy: 0.7538, prior_entropy: 1.9991, recall: 0.7538, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.6264, scimark_benchmark: 1310.6554, usercpu_time_millis: 360, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.6539, kappa: 0.5528, kb_relative_information_score: 4721.9261, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.6576, predictive_accuracy: 0.6648, prior_entropy: 1.9991, recall: 0.6648, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.7351, scimark_benchmark: 1313.8988, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5287, f_measure: 0.1929, kappa: 0.0574, kb_relative_information_score: 1267.9956, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.4667, predictive_accuracy: 0.2992, prior_entropy: 1.9991, recall: 0.2992, relative_absolute_error: 0.9348, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.592, root_relative_squared_error: 1.3674, scimark_benchmark: 1307.9497, usercpu_time_millis: 660, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.6965, kappa: 0.6095, kb_relative_information_score: 5493.6543, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.6944, predictive_accuracy: 0.7071, prior_entropy: 1.9991, recall: 0.7071, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.7096, scimark_benchmark: 1299.6719, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.6965, kappa: 0.6095, kb_relative_information_score: 5493.6543, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.6944, predictive_accuracy: 0.7071, prior_entropy: 1.9991, recall: 0.7071, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.7096, scimark_benchmark: 1325.6322, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.7204, kappa: 0.6398, kb_relative_information_score: 5386.1596, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.7151, predictive_accuracy: 0.7298, prior_entropy: 1.9991, recall: 0.7298, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.6637, scimark_benchmark: 1349.1517, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.7043, kappa: 0.6077, kb_relative_information_score: 5192.1543, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.7034, predictive_accuracy: 0.7059, prior_entropy: 1.9991, recall: 0.7059, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.7475, scimark_benchmark: 940.3347, usercpu_time_millis: 2700, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.6749, kappa: 0.5723, kb_relative_information_score: 5195.4837, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.6724, predictive_accuracy: 0.6792, prior_entropy: 1.9991, recall: 0.6792, relative_absolute_error: 0.4279, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.9251, scimark_benchmark: 1356.4396, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.6965, kappa: 0.6095, kb_relative_information_score: 5493.6543, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.6944, predictive_accuracy: 0.7071, prior_entropy: 1.9991, recall: 0.7071, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.7096, scimark_benchmark: 1350.1007, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.7043, kappa: 0.6077, kb_relative_information_score: 5192.1543, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.7034, predictive_accuracy: 0.7059, prior_entropy: 1.9991, recall: 0.7059, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.7475, scimark_benchmark: 1353.5464, usercpu_time_millis: 2830, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.7478, kappa: 0.6717, kb_relative_information_score: 5597.7784, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.7442, predictive_accuracy: 0.7538, prior_entropy: 1.9991, recall: 0.7538, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.6264, scimark_benchmark: 1370.3901, usercpu_time_millis: 370, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.7048, kappa: 0.6186, kb_relative_information_score: 5570.3605, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.7018, predictive_accuracy: 0.7139, prior_entropy: 1.9991, recall: 0.7139, relative_absolute_error: 0.4021, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.6988, scimark_benchmark: 1363.1824, usercpu_time_millis: 90, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5287, f_measure: 0.1929, kappa: 0.0574, kb_relative_information_score: 1267.9956, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.4667, predictive_accuracy: 0.2992, prior_entropy: 1.9991, recall: 0.2992, relative_absolute_error: 0.9348, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.592, root_relative_squared_error: 1.3674, scimark_benchmark: 1267.3105, usercpu_time_millis: 710, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.7478, kappa: 0.6717, kb_relative_information_score: 5597.7784, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.7442, predictive_accuracy: 0.7538, prior_entropy: 1.9991, recall: 0.7538, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.6264, scimark_benchmark: 1260.1387, usercpu_time_millis: 330, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.59, kappa: 0.4793, kb_relative_information_score: 4562.4161, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.6015, predictive_accuracy: 0.6085, prior_entropy: 1.9991, recall: 0.6085, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.9007, scimark_benchmark: 1322.7257, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.7478, kappa: 0.6717, kb_relative_information_score: 5597.7784, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.7442, predictive_accuracy: 0.7538, prior_entropy: 1.9991, recall: 0.7538, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.6264, scimark_benchmark: 1281.7531, usercpu_time_millis: 450, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.687, kappa: 0.59, kb_relative_information_score: 5214.3565, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.6836, predictive_accuracy: 0.6924, prior_entropy: 1.9991, recall: 0.6924, relative_absolute_error: 0.4496, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.7671, scimark_benchmark: 1384.4422, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5287, f_measure: 0.1929, kappa: 0.0574, kb_relative_information_score: 1267.9956, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.4667, predictive_accuracy: 0.2992, prior_entropy: 1.9991, recall: 0.2992, relative_absolute_error: 0.9348, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.592, root_relative_squared_error: 1.3674, scimark_benchmark: 1315.933, usercpu_time_millis: 720, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.59, kappa: 0.4793, kb_relative_information_score: 4562.4161, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.6015, predictive_accuracy: 0.6085, prior_entropy: 1.9991, recall: 0.6085, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.9007, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.6965, kappa: 0.6095, kb_relative_information_score: 5493.6543, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.6944, predictive_accuracy: 0.7071, prior_entropy: 1.9991, recall: 0.7071, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.7096, scimark_benchmark: 918.0213, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.6965, kappa: 0.6095, kb_relative_information_score: 5493.6543, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.6944, predictive_accuracy: 0.7071, prior_entropy: 1.9991, recall: 0.7071, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.7096, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.6965, kappa: 0.6095, kb_relative_information_score: 5493.6543, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.6944, predictive_accuracy: 0.7071, prior_entropy: 1.9991, recall: 0.7071, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.7096, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.687, kappa: 0.59, kb_relative_information_score: 5214.3565, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.6836, predictive_accuracy: 0.6924, prior_entropy: 1.9991, recall: 0.6924, relative_absolute_error: 0.4496, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.7671, scimark_benchmark: 1371.9645, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.6965, kappa: 0.6095, kb_relative_information_score: 5493.6543, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.6944, predictive_accuracy: 0.7071, prior_entropy: 1.9991, recall: 0.7071, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.7096, scimark_benchmark: 1312.2688, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.6965, kappa: 0.6095, kb_relative_information_score: 5493.6543, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.6944, predictive_accuracy: 0.7071, prior_entropy: 1.9991, recall: 0.7071, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.7096, scimark_benchmark: 1347.917, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs